EX4_AND_GATE_USING_KERAS(MULTI).ipynb

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  "metadata": {
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    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## AND GATE USING KERAS(MULTILAYER PERCEPTRON)"
      ],
      "metadata": {
        "id": "FXDLqrTXRQrv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "from tensorflow.keras.models import Sequential\n",
        "from tensorflow.keras.layers import Dense\n",
        "\n",
        "input = np.array([[0,0],[0,1],[1,0],[1,1]])\n",
        "output = np.array([[0],[0],[0],[1]])\n",
        "\n",
        "model = Sequential()\n",
        "model.add(Dense(16,input_dim=2, activation='relu'))\n",
        "model.add(Dense(1))\n",
        "model.compile(loss='mean_squared_error', optimizer='rmsprop', metrics=['binary_accuracy'])\n",
        "\n",
        "model.fit(input,output,epochs=100,verbose=1)\n",
        "\n",
        "print(model.predict(input).round())\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TbB3htkDRZyu",
        "outputId": "a8d918f7-bd92-4fd6-d0ae-9b081f0776a7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/100\n",
            "1/1 [==============================] - 0s 463ms/step - loss: 0.1574 - binary_accuracy: 0.7500\n",
            "Epoch 2/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1468 - binary_accuracy: 0.7500\n",
            "Epoch 3/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1399 - binary_accuracy: 0.7500\n",
            "Epoch 4/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1344 - binary_accuracy: 0.7500\n",
            "Epoch 5/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.1298 - binary_accuracy: 0.7500\n",
            "Epoch 6/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1257 - binary_accuracy: 0.7500\n",
            "Epoch 7/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1221 - binary_accuracy: 0.7500\n",
            "Epoch 8/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1188 - binary_accuracy: 0.7500\n",
            "Epoch 9/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1157 - binary_accuracy: 0.7500\n",
            "Epoch 10/100\n",
            "1/1 [==============================] - 0s 15ms/step - loss: 0.1128 - binary_accuracy: 0.7500\n",
            "Epoch 11/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1101 - binary_accuracy: 0.7500\n",
            "Epoch 12/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1075 - binary_accuracy: 0.7500\n",
            "Epoch 13/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.1050 - binary_accuracy: 0.7500\n",
            "Epoch 14/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1027 - binary_accuracy: 0.7500\n",
            "Epoch 15/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1004 - binary_accuracy: 0.7500\n",
            "Epoch 16/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0982 - binary_accuracy: 0.7500\n",
            "Epoch 17/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0961 - binary_accuracy: 0.7500\n",
            "Epoch 18/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0941 - binary_accuracy: 0.7500\n",
            "Epoch 19/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0923 - binary_accuracy: 0.7500\n",
            "Epoch 20/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0905 - binary_accuracy: 0.7500\n",
            "Epoch 21/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0888 - binary_accuracy: 0.7500\n",
            "Epoch 22/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.0872 - binary_accuracy: 0.7500\n",
            "Epoch 23/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0856 - binary_accuracy: 0.7500\n",
            "Epoch 24/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0840 - binary_accuracy: 0.7500\n",
            "Epoch 25/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0825 - binary_accuracy: 1.0000\n",
            "Epoch 26/100\n",
            "1/1 [==============================] - 0s 16ms/step - loss: 0.0810 - binary_accuracy: 1.0000\n",
            "Epoch 27/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.0796 - binary_accuracy: 1.0000\n",
            "Epoch 28/100\n",
            "1/1 [==============================] - 0s 16ms/step - loss: 0.0782 - binary_accuracy: 1.0000\n",
            "Epoch 29/100\n",
            "1/1 [==============================] - 0s 17ms/step - loss: 0.0768 - binary_accuracy: 1.0000\n",
            "Epoch 30/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0754 - binary_accuracy: 1.0000\n",
            "Epoch 31/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0741 - binary_accuracy: 1.0000\n",
            "Epoch 32/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.0731 - binary_accuracy: 1.0000\n",
            "Epoch 33/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0716 - binary_accuracy: 1.0000\n",
            "Epoch 34/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0704 - binary_accuracy: 1.0000\n",
            "Epoch 35/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0692 - binary_accuracy: 1.0000\n",
            "Epoch 36/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.0681 - binary_accuracy: 1.0000\n",
            "Epoch 37/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0669 - binary_accuracy: 1.0000\n",
            "Epoch 38/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0658 - binary_accuracy: 1.0000\n",
            "Epoch 39/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0647 - binary_accuracy: 1.0000\n",
            "Epoch 40/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0637 - binary_accuracy: 1.0000\n",
            "Epoch 41/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0626 - binary_accuracy: 1.0000\n",
            "Epoch 42/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.0616 - binary_accuracy: 1.0000\n",
            "Epoch 43/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0605 - binary_accuracy: 1.0000\n",
            "Epoch 44/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.0595 - binary_accuracy: 1.0000\n",
            "Epoch 45/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0585 - binary_accuracy: 1.0000\n",
            "Epoch 46/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.0576 - binary_accuracy: 1.0000\n",
            "Epoch 47/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0566 - binary_accuracy: 1.0000\n",
            "Epoch 48/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.0556 - binary_accuracy: 1.0000\n",
            "Epoch 49/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0547 - binary_accuracy: 1.0000\n",
            "Epoch 50/100\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 0.0537 - binary_accuracy: 1.0000\n",
            "Epoch 51/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0528 - binary_accuracy: 1.0000\n",
            "Epoch 52/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.0519 - binary_accuracy: 1.0000\n",
            "Epoch 53/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0510 - binary_accuracy: 1.0000\n",
            "Epoch 54/100\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 0.0501 - binary_accuracy: 1.0000\n",
            "Epoch 55/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0492 - binary_accuracy: 1.0000\n",
            "Epoch 56/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0483 - binary_accuracy: 1.0000\n",
            "Epoch 57/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.0474 - binary_accuracy: 1.0000\n",
            "Epoch 58/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.0466 - binary_accuracy: 1.0000\n",
            "Epoch 59/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0457 - binary_accuracy: 1.0000\n",
            "Epoch 60/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0449 - binary_accuracy: 1.0000\n",
            "Epoch 61/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.0440 - binary_accuracy: 1.0000\n",
            "Epoch 62/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.0432 - binary_accuracy: 1.0000\n",
            "Epoch 63/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0424 - binary_accuracy: 1.0000\n",
            "Epoch 64/100\n",
            "1/1 [==============================] - 0s 15ms/step - loss: 0.0416 - binary_accuracy: 1.0000\n",
            "Epoch 65/100\n",
            "1/1 [==============================] - 0s 17ms/step - loss: 0.0408 - binary_accuracy: 1.0000\n",
            "Epoch 66/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0400 - binary_accuracy: 1.0000\n",
            "Epoch 67/100\n",
            "1/1 [==============================] - 0s 14ms/step - loss: 0.0392 - binary_accuracy: 1.0000\n",
            "Epoch 68/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0385 - binary_accuracy: 1.0000\n",
            "Epoch 69/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0377 - binary_accuracy: 1.0000\n",
            "Epoch 70/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.0369 - binary_accuracy: 1.0000\n",
            "Epoch 71/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0362 - binary_accuracy: 1.0000\n",
            "Epoch 72/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0355 - binary_accuracy: 1.0000\n",
            "Epoch 73/100\n",
            "1/1 [==============================] - 0s 14ms/step - loss: 0.0348 - binary_accuracy: 1.0000\n",
            "Epoch 74/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.0341 - binary_accuracy: 1.0000\n",
            "Epoch 75/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.0334 - binary_accuracy: 1.0000\n",
            "Epoch 76/100\n",
            "1/1 [==============================] - 0s 16ms/step - loss: 0.0327 - binary_accuracy: 1.0000\n",
            "Epoch 77/100\n",
            "1/1 [==============================] - 0s 15ms/step - loss: 0.0321 - binary_accuracy: 1.0000\n",
            "Epoch 78/100\n",
            "1/1 [==============================] - 0s 16ms/step - loss: 0.0314 - binary_accuracy: 1.0000\n",
            "Epoch 79/100\n",
            "1/1 [==============================] - 0s 14ms/step - loss: 0.0308 - binary_accuracy: 1.0000\n",
            "Epoch 80/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.0301 - binary_accuracy: 1.0000\n",
            "Epoch 81/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0295 - binary_accuracy: 1.0000\n",
            "Epoch 82/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.0289 - binary_accuracy: 1.0000\n",
            "Epoch 83/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.0282 - binary_accuracy: 1.0000\n",
            "Epoch 84/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.0276 - binary_accuracy: 1.0000\n",
            "Epoch 85/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0270 - binary_accuracy: 1.0000\n",
            "Epoch 86/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.0264 - binary_accuracy: 1.0000\n",
            "Epoch 87/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0258 - binary_accuracy: 1.0000\n",
            "Epoch 88/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0252 - binary_accuracy: 1.0000\n",
            "Epoch 89/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0246 - binary_accuracy: 1.0000\n",
            "Epoch 90/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0241 - binary_accuracy: 1.0000\n",
            "Epoch 91/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.0235 - binary_accuracy: 1.0000\n",
            "Epoch 92/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0229 - binary_accuracy: 1.0000\n",
            "Epoch 93/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0224 - binary_accuracy: 1.0000\n",
            "Epoch 94/100\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 0.0218 - binary_accuracy: 1.0000\n",
            "Epoch 95/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0213 - binary_accuracy: 1.0000\n",
            "Epoch 96/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.0207 - binary_accuracy: 1.0000\n",
            "Epoch 97/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0202 - binary_accuracy: 1.0000\n",
            "Epoch 98/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.0197 - binary_accuracy: 1.0000\n",
            "Epoch 99/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.0192 - binary_accuracy: 1.0000\n",
            "Epoch 100/100\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 0.0187 - binary_accuracy: 1.0000\n",
            "WARNING:tensorflow:5 out of the last 5 calls to <function Model.make_predict_function.<locals>.predict_function at 0x7f6cb436cc20> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for  more details.\n",
            "[[-0.]\n",
            " [ 0.]\n",
            " [ 0.]\n",
            " [ 1.]]\n"
          ]
        }
      ]
    }
  ]
}